AI Practice Lead: Software Delivery Enablement

Navitus

Hartford (CT)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago

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Benefits offered by this job

Health insurance

PTO - 20 days

Parental leave - 4 weeks

Paid holidays - 9

401K company match

Adoption assistance

Flexible Spending Account

Educational assistance

Professional membership assistance

Referral bonus program

Job summary

Navitus is seeking a Lead, Software Development AI Practice to lead AI enablement across delivery and developer teams. You will define patterns, build AI services, and drive PoC to production initiatives, coaching teams on responsible AI and governance.

This role requires strong collaboration and strategic influence within Navitus. The position emphasizes scalable enablement, enterprise architecture alignment, and measurable efficiency gains in delivering software solutions.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Software Engineering or related field, or equivalent work experience.
8+ years of software development or architecture experience.
3+ years focused on Artificial Intelligence and Machine Learning technologies.
Experience defining software development AI frameworks and tools (including coaching and practice roll-out / demonstration).
Demonstrated experience leading or scaling generative AI, machine learning, or agentic AI capabilities from PoC through broader adoption.
Demonstrated experience applying security, privacy, data governance, and risk requirements to tech solutions in regulated or data-sensitive environments.
Demonstrated experience influencing technical and business stakeholders and driving adoption across teams without relying solely on direct reporting authority.
Ability to consistently interact cooperatively and respectfully with other employees.

Responsibilities

Partner with many groups across Navitus to identify and prioritize high-value AI use cases that improve software quality and productivity.
Establish reusable AI patterns, reference architectures, integration approaches, and development standards for generative AI, ML, and agentic AI capabilities.
Build and maintain AI-enabled services and components, including model interfaces, orchestration services, agent frameworks, and tooling patterns.
Lead proof-of-concept and pilot initiatives that demonstrate AI value and scale successful experiments into repeatable capabilities.
Provide hands-on coaching and daily enablement to developers, delivery roles, and product teams on effective AI tools and responsible usage.
Serve as the primary AI adoption point of contact for Software Development and Delivery, influencing teams without direct authority.
Ensure AI solutions comply with governance, security, data privacy, auditability, and model transparency principles.
Support agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop controls.
Own AI adoption measurement, including tools, metrics, reporting, and leadership updates.
Evaluate emerging AI platforms and capabilities for fit with enterprise needs and define adoption approaches.
Minimal travel may be required for meetings, training, or business needs.
Other duties as assigned.